The Embodied AI Data Flywheel: Why Physical AI Will Outpace LLMs
The embodied AI training data problem is structurally different from the language model data problem. Language models learned from the internet. Embodied AI must learn from the physical world — and that data does not exist yet at scale. Why language models scaled faster than embodied AI training data Large language models achieved their capability […]
Sim-to-Real Transfer: Why Synthetic Data Alone Will Not Train a Deployable Robot
Sim-to-real robot training with synthetic data is one of the most powerful techniques in embodied AI — and one of the most misunderstood. The gap between what simulation promises and what it delivers in production is real, measurable, and manageable if you understand its structure. The appeal of sim-to-real synthetic data strategies Simulation offers something […]
Why we built Roborax as a standalone brand
When we first started talking to humanoid robotics teams, three out of four would ask: “You’re inside a $200M BPO — what do you know about robotics data?” Here’s why we chose to spin out the brand while keeping the operational spine.